PROGRESS uses two deep learning models on baseline CSF biomarkers to predict individualized cognitive trajectories with calibrated uncertainty and time to dementia conversion, outperforming standard survival models with strong cross-site generalizability.
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Dual Model Deep Learning for Alzheimer Prognostication
PROGRESS uses two deep learning models on baseline CSF biomarkers to predict individualized cognitive trajectories with calibrated uncertainty and time to dementia conversion, outperforming standard survival models with strong cross-site generalizability.